NVIDIA GeForce RTX 4070 Ti SUPER vs NVIDIA GeForce RTX 3090
Side-by-side comparison for AI and gaming. Which one should you buy in 2026?
Bottom Line
NVIDIA GeForce RTX 3090 has more VRAM (24GB vs 16GB) but costs more ($900 vs $750). For AI, the extra VRAM is usually worth it. For gaming only, NVIDIA GeForce RTX 4070 Ti SUPER may be the better value.
AI Model Compatibility
How each GPU handles popular AI models. VRAM determines whether a model fits — green means it runs, red means it won't.
Estimated Performance (tok/s)
Bandwidth-based estimates, not hardware benchmarks. Methodology
NVIDIA GeForce RTX 4070 Ti SUPER
The RTX 4070 Ti SUPER is a compelling mid-to-high-end option with 16GB of GDDR6X VRAM. It handles 1440p and 4K gaming well, and the 16GB VRAM makes it viable for running 14B parameter LLMs and Stable Diffusion. It occupies a sweet spot for builders who want both gaming and AI capability without paying flagship prices.
Full specs →NVIDIA GeForce RTX 3090
The NVIDIA GeForce RTX 3090 was the previous-generation flagship with 24GB of GDDR6X memory. In 2026, it remains one of the best used-market options for AI builders — 24GB VRAM with full CUDA support at used prices well below a new RTX 4090. It runs 32B models at Q4 and handles Stable Diffusion easily. The older Ampere architecture means no DLSS 3/4, but for AI inference, raw VRAM matters more than architecture.
Full specs →Who Should Buy Which?
Buy the NVIDIA GeForce RTX 4070 Ti SUPER if:
- + You want to save $150
- + You want better gaming performance
- + You want lower power consumption (285W vs 350W)
- + 1440p/4K gaming with enough VRAM for real AI work
Buy the NVIDIA GeForce RTX 3090 if:
- + You need 24GB VRAM for larger AI models
- + Best used-market value for 24GB VRAM AI builds